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Using field cocitation analysis to assess reciprocal and shared impact of LIS/MIS fields

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  • Cassidy R. Sugimoto
  • Jean A. Pratt
  • Karina Hauser

Abstract

This study utilized bibliometric tools to analyze the relationship between two separate, but related, fields: Library and Information Science (LIS) and Management Information Systems (MIS). The top‐ranked 48 journals in each field were used as the unit of analysis. Using these journals, field cocitation was introduced as a method for evaluating the relationships between the two fields. The three‐phased study evaluated (a) the knowledge imported/exported between LIS and MIS, (b) the body of knowledge influenced by both fields, and (c) the overlap in fields as demonstrated by multidimensional scaling. Data collection and analysis were performed using DIALOG and SPSS programs. The primary findings from this study indicate that (a) the MIS impact on LIS is greater than the reverse, (b) there is a growing trend for shared impact between the two disciplines, and (c) the area of overlap between the two fields is predominately those journals focusing on technology systems and digital information. Additionally, this study validated field cocitation as a method by which to evaluate relationships between fields.

Suggested Citation

  • Cassidy R. Sugimoto & Jean A. Pratt & Karina Hauser, 2008. "Using field cocitation analysis to assess reciprocal and shared impact of LIS/MIS fields," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 59(9), pages 1441-1453, July.
    • Handle: RePEc:bla:jamist:v:59:y:2008:i:9:p:1441-1453
    DOI: 10.1002/asi.20863
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    Cited by:

    1. Jianli Luo & Chen Ji & Chunxiao Qiu & Fu Jia, 2018. "Agri-Food Supply Chain Management: Bibliometric and Content Analyses," Sustainability, MDPI, vol. 10(5), pages 1-22, May.
    2. Chien Hsiang Liao & Mu-Yen Chen, 2018. "Exploring knowledge patterns of library and information science journals within the field: a citation analysis from 2009 to 2016," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(3), pages 1991-2008, December.
    3. An, Lu & Yu, Chuanming & Li, Gang, 2014. "Visual topical analysis of Chinese and American Library and Information Science research institutions," Journal of Informetrics, Elsevier, vol. 8(1), pages 217-233.
    4. Xie, Yundong & Wu, Qiang & Zhang, Peng & Li, Xingchen, 2020. "Information Science and Library Science (IS-LS) journal subject categorisation and comparison based on editorship information," Journal of Informetrics, Elsevier, vol. 14(4).
    5. Manuel Castriotta & Maria Chiara Guardo, 2016. "Disentangling the automotive technology structure: a patent co-citation analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(2), pages 819-837, May.
    6. Chaoqun Ni & Cassidy R. Sugimoto & Jiepu Jiang, 2013. "Venue-author-coupling: A measure for identifying disciplines through author communities," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 64(2), pages 265-279, February.
    7. Chaoqun Ni & Cassidy R. Sugimoto & Blaise Cronin, 2013. "Visualizing and comparing four facets of scholarly communication: producers, artifacts, concepts, and gatekeepers," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(3), pages 1161-1173, March.
    8. Mu-hsuan Huang & Wang-Ching Shaw & Chi-Shiou Lin, 2019. "One category, two communities: subfield differences in “Information Science and Library Science” in Journal Citation Reports," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(2), pages 1059-1079, May.
    9. Baccini, Alberto & Barabesi, Lucio, 2011. "Seats at the table: The network of the editorial boards in information and library science," Journal of Informetrics, Elsevier, vol. 5(3), pages 382-391.
    10. Jean A. Pratt & Karina Hauser & Cassidy R. Sugimoto, 2012. "Defining the intellectual structure of information systems and related college of business disciplines: a bibliometric analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 93(2), pages 279-304, November.
    11. Shiau, Wen-Lung & Dwivedi, Yogesh K. & Yang, Han Suan, 2017. "Co-citation and cluster analyses of extant literature on social networks," International Journal of Information Management, Elsevier, vol. 37(5), pages 390-399.
    12. Baccini, Federica & Barabesi, Lucio & Baccini, Alberto & Khelfaoui, Mahdi & Gingras, Yves, 2022. "Similarity network fusion for scholarly journals," Journal of Informetrics, Elsevier, vol. 16(1).
    13. Hsiao, Chun Hua & Yang, Chyan, 2011. "The intellectual development of the technology acceptance model: A co-citation analysis," International Journal of Information Management, Elsevier, vol. 31(2), pages 128-136.

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